![The foundations of Statistics [reply]](https://images.springer.com/cda/content/image/cda_displayimage.jpg?SGWID=0-0-16-814797-0)
Shravan Vasishth has written a response to my review both published on the Statistics Forum. His response is quite straightforward and honest. In particular, he acknowledges not being a statistician and that he “should spend more time studying statistics”. I also understand the authors’ frustration at trying “to recruit several statisticians (at different points) to
“We have seen that a perfect correlation is perfectly linear, so an imperfect correlation will be `imperfectly linear’.” page 128 This book has been written by two linguists, Shravan Vasishth and Michael Broe, in order to teach statistics “in areas that are traditionally not mathematically demanding” at a deeper level than traditional textbooks “without using
(This post got published on The Statistics Forum yesterday.) The short book review section of the International Statistical Review sent me Raquel Prado’s and Mike West’s book, Time Series (Modeling, Computation, and Inference) to review. The current post is not about this specific book, but rather on why I am unsatisfied with the textbooks in
The ASA is launching a new blog called the Statistics Forum, managed by Andrew Gelman and to which I will periodically contribute items that may induce some amount of discussion within the community, like the first entry by Michael Lavine on testing. (Meaning I will double-post on the Og and on the Statistics Forum, if
